Amazon's AGI team is looking to advance the state of the art in Generative Artificial Intelligence (GenAI) models, specifically focusing on multi-modal Large Language Models (LLMs). The goal is to leverage Amazon's vast data and computing resources to accelerate development and improve customer experiences through efficient and novel algorithms and modeling techniques.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with popular deep learning frameworks, including PyTorch
Responsibilities
- Leading the development of novel algorithms and modeling techniques to advance the state of the art.
- Scaling pre-training and post-training workflows and building efficient models.
- Supporting the system architecture and the best practices that enable a quality infrastructure.
- Pre-training and post-training multimodal LLMs
- Scale training, optimization methods, and learning objectives
- Utilize, build, and extend upon industry-leading frameworks
- Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility
Other
- PhD, or Master's degree and 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
